This thesis is concerned with the study on the effect of the swimbbadder on hearing sensitivity in Ameiurus nebulosus nebulosus. The investigation has been performed by means of auditory threshold curves in normal catfish and in catfish in which the resonance of the swim­bladder was eliminated, The results were compared. The thesis consists of an introduction to the investigation, followed by a review of the literature in relation to the problem, a description of the material and technique and of the experimental work, the results obtained with a discussion and a summary. / Thesis / Master of Science (MS)

The gluten-free diet is the only treatment available for gluten-related disorders, such as celiac disease, an autoimmune reaction to gluten, or non-celiac gluten or wheat sensitivity, a symptomatic reaction to wheat or gluten. However, gluten may not be the only culprit, and patients on a gluten-free diet have been suggested to symptomatically improve through the placebo effect, alterations in immune activity, and alterations in gut microbiota composition. It is unclear which of these mechanisms underlie symptoms in gluten-related disorders and well-designed clinical studies are needed to better understand them. This thesis aims to understand the mechanisms and symptomatic responses by which wheat and gluten affect individuals with gluten-related disorders. I hypothesize that patients with gluten-related disorders have increased psychological symptoms and immune reactivity which may be modulated by the gut microbiota. To test this, I conducted a clinical crossover trial to investigate whether whole wheat or gluten triggered symptoms versus gluten-free control, or nocebo, in irritable bowel syndrome patients adopting a gluten-free diet. Participants reacted similarly to each intervention, suggesting a strong 'nocebo effect' to be the main trigger of their symptoms. However, several participants did not comply to the protocol, muddying the results. Subsequent follow-up visits after disclosing personalized study results found no changes in participant beliefs, behaviours, and symptoms, and most remained on a gluten-free diet. Next, a systematic review of 65 observational studies found an elevated risk of IBD in celiac disease and vice versa. Finally, a systematic review of 6 RCTs found limited evidence that probiotics are safe and possibly therapeutic for ameliorating symptoms in celiac disease. Overall, the work presented in this thesis critically assesses the mechanisms by which gluten and wheat trigger symptoms in gluten-related disorders and highlights the importance of rigorous clinical trial design to control for psychological factors and patient compliance. / Thesis / Doctor of Philosophy (PhD) / Gluten, a wheat protein, is commonly associated with the autoimmune condition celiac disease, symptomatic worsening from gluten or wheat in non-celiac gluten/wheat sensitivity, and irritable bowel syndrome. This thesis strove to understand how gluten and other wheat proteins impact symptoms via psychological, immune, and/or bacteria-mediated pathways in gluten-related disorders. A clinical trial tested the effects of whole wheat, gluten, and gluten-free control on symptoms in irritable bowel syndrome patients on a gluten-free diet. We found no differences between interventions but discovered widespread diet non-compliance and that patient fears triggered symptoms. Informing patients of whether wheat, gluten, or gluten-free control triggered their symptoms did not change their dietary beliefs or behaviours. Additionally, two systematic reviews found a relationship between celiac disease and inflammatory bowel disease, and a possible therapeutic effect of probiotics in celiac patients. Our findings provided insights into the content and quality of the clinical evidence for gluten-related disorders.

Yes / This paper provides a critical review and discussion of major challenges with automotive aftertreatment systems from the viewpoint of the reliability of complex systems. The aim of this review is to systematically explore research efforts towards the three key issues affecting the reliability of aftertreatment systems: physical problems, control problems and fault diagnostics issues. The review covers important developments in technologies for control of the system, various methods proposed to tackle NOx sensor cross-sensitivity as well as fault detection and diagnostics methods, utilized on SCR, LNT and DPF systems. This paper discusses future challenges and research direction towards assured dependability of complex cyber-physical systems. / InPowerCare Project - JLR (Jaguar Land Rover)

No / Universities’ internationalisation rhetoric suggests that students studying on internationally diverse campuses will automatically engage positively with one another and develop intercultural competence. This study examined the extent to which a cohort of first year UK and non-UK students studying on an internationally diverse campus developed intercultural competence. The Intercultural Development Inventory® (IDI®) and a locally designed survey were used to assess students’ intercultural competence and to explore their intercultural experiences over seven months. Students began almost exclusively in lower (ethnocentric) stages of intercultural development and most showed little progress despite reporting relatively high levels of intercultural contact, friends from other cultures and positive experiences. Findings suggest that even positive intercultural experiences do not necessarily lead to the development of intercultural competence and that university policy and practice may need to be enhanced if producing graduates with higher levels of intercultural competence is to become a realised outcome of internationalisation. / This work was supported in part by funding from the Higher Education Academy Psychology Network (now defunct)

No / The purpose of this article is to determine whether blur adaptation influences blur sensitivity and blur discrimination thresholds in young adult myopes and emmetropes. In addition, to determine whether there is a differential effect of blur adaptation on blur sensitivity and discrimination between refractive error groups. Proximal and distal blur sensitivity thresholds and blur discrimination thresholds were measured under cycloplegia with a Badal optometer in 24 young adult subjects (8 emmetropes [EMM], 8 early-onset myopes [EOM], and 8 late-onset myopes [LOM]). Adaptation to 1 D of myopic refractive blur was then undertaken for 30 minutes. Blur sensitivity and discrimination thresholds were then remeasured. After blur adaptation, blur sensitivity, and blur discrimination thresholds were found to be elevated. Blur adaptation had a significant effect on distal blur sensitivity threshold, with the largest effect being observed in the EOMs. Mean changes in distal blur sensitivity thresholds were EMMs +0.03 ± 0.14 D, EOMs +0.30 ± 0.21 D, and LOMs +0.08 ± 0.13 D. Adaptation to a degraded stimulus modifies the blur detection mechanisms of the visual system in young adults. Depth of focus is expanded by prolonged exposure to defocus. EOMs are more susceptible to this phenomenon than are LOMs and EMMs.

A bilinear formulation is used for developing the time finite element method (TFM) to obtain transient responses of both linear, nonlinear, damped and undamped systems. Also the formulation, used in the h-, p- and hp-versions, is extended and found to be readily amenable to multi-degree-of-freedom systems. The resulting linear and nonlinear algebraic equations for the transient response are differentiated to obtain the sensitivity of the response with respect to various design parameters. The present developments were tested on a series of linear and nonlinear examples and were found to yield, when compared with other methods, excellent results for both the transient response and its sensitivity to system parameters. Mostly, the results were obtained using the Legendre polynomials as basis functions, though, in some cases other orthogonal polynomials namely, Hermite, Chebyshev, and integrated Legendre polynomials were also employed (but to no great advantage). A key advantage of TFM, and the one often overlooked in its past applications, is the ease in which the sensitivity of the transient response with respect to various design parameters can be obtained. Since a considerable effort is spent in determining the sensitivity of the response with respect to system parameters in many algorithms for parametric identification, an identification procedure based on the TFM is developed and tested for a number of nonlinear single-and two-degree-of-freedom system problems. An advantage of the TFM is the easy calculation of the sensitivity of the transient response with respect to various design parameters, a key requirement for gradient-based parameter identification schemes. The method is simple, since one obtains the sensitivity of the response to system parameters by differentiating the algebraic equations, not original differential equations. These sensitivities are used in Levenberg-Marquardt iterative direct method to identify parameters for nonlinear single- and two-degree-of-freedom systems. The measured response was simulated by integrating the example nonlinear systems using the given values of the system parameters. To study the influence of the measurement noise on parameter identification, random noise is added to the simulated response. The accuracy and the efficiency of the present method is compared to a previously available approach that employs a multistep method to integrate nonlinear differential equations. It is seen, for the same accuracy, the present approach requires fewer data points. Finally, the TFM for optimal control problems based on Hamiltonian weak formulation is proposed by adopting the p- and hp-versions as a finite element discretization process. The p-version can be used to improve the accuracy of the solution by adding more unknowns to each element without refining the mesh. The usage of hierarchical type of shape functions can lead to a significant saving in computational effort for a given accuracy. A set of Legendre polynomials are chosen as higher order shape functions and applied to two simple minimization problems for optimal control. The proposed formulation provides very accurate results for these problems. / Ph. D.

Mathematical models are useful for simulation, design, analysis, control, and optimization of complex systems. One important step necessary to create an effective model is designing an experiment from which the unknown model parameter can be accurately identified and then verified. The strategy which one approaches this problem is dependent on the amount of data that can be collected and the assumptions made about the behavior of the error in the statistical model. In this presentation we describe how to approach this problem using a combination of statistical and mathematical theory with reliable computation. More specifically, we present a new approach to bounded error parameter validation that approximates the membership set by solving an inverse problem rather than using the standard forward interval analysis methods. For our method we provide theoretical justification, apply this technique to several examples, and describe how it relates to designing experiments. We also address how to define infinite dimensional designs that can be used to create designs of any finite dimension. In general, finding a good design for an experiment requires a careful investigation of all available information and we provide an effective approach to dthe problem. / Ph. D.

This effort is focused on the design, calibration, and implementation of a high temperature heat flux sensor for thermal systems research and testing. The High Temperature Heat Flux Sensor (HTHFS) was designed to survive in the harsh thermal environments typically encountered in hypersonic flight, combustion and propulsion research, and large-scale fire testing. The sensor is capable of continuous use at temperatures up to 1000 â ¦C. Two methods for steady-state calibration of the HTHFS at elevated temperatures have been developed as a result of this research. The first method employs a water-cooled heat flux sensor as a reference standard for the calibration. The second method utilizes a blackbody radiant source and a NIST calibrated optical pyrometer as the calibration standard. The HTHFS calibration results obtained from both methods compare favorably with the theoretical sensitivity versus temperature model. Implementation of the HTHFS in several types of transient thermal testing scenarios is also demonstrated herein. A new data processing technique is used to interpret the measurements made by the HTHFS. The Hybrid Heat Flux (HHF) method accounts for the heat flow through the sensor and the heat storage in the sensor, and thus renders the HTHFS virtually insensitive to the material on which it is mounted. The calibrated output of the HTHFS versus temperature ensures accuracy in the measurements made by the sensor at high operating temperatures. / Ph. D.

The inverse problem in finance consists of determining the unknown parameters of the pricing equation from the values quoted from the market. We formulate the inverse problem as a minimization problem for an appropriate cost function to minimize the difference between the solution of the model and the market observations. Efficient gradient based optimization requires accurate gradient estimation of the cost function. In this thesis we highlight the adjoint method for computing gradients of the cost function in the context of gradient based optimization and show its importance. We derive the continuous adjoint equations with appropriate boundary conditions for three main option pricing models: the Black-Scholes model, the Heston's model and the jump diffusion model, for European type options. These adjoint equations can be used to compute the gradient of the cost function accurately for parameter estimation problems. The adjoint method allows efficient evaluation of the gradient of a cost function F(σ) with respect to parameters σ where F depends on σ indirectly, via an intermediate variable. Compared to the finite difference method and the sensitivity equation method, the adjoint equation method is very efficient in computing the gradient of the cost function. The sensitivity equations method requires solving a PDE corresponding to each parameter in the model to estimate the gradient of the cost function. The adjoint method requires solving a single adjoint equation once. Hence, for a large number of parameters in the model, the adjoint equation method is very efficient. Due to its nature, the adjoint equation has to be solved backward in time. The adjoint equation derived from the jump diffusion model is harder to solve due to its non local integral term. But algorithms that can be used to solve the Partial Integro-Differential Equation (PIDE) derived from jump diffusion model can be modified to solve the adjoint equation derived from the PIDE. / Ph. D.

Sensitivity analysis is a useful mathematical tool for many designers, engineers and mathematicians. This work presents a study of sensitivity equation methods for elliptic boundary value problems posed on parameter dependent domains. The current focus of our efforts is the construction of a rigorous mathematical framework for sensitivity analysis and the subsequent development of efficient, accurate algorithms for sensitivity computation. In order to construct the framework, we use the classical theory of partial differential equations along with the method of mappings and the Implicit Function Theorem. Examples are given which illustrate the use of the framework, and some of the shortcomings of the theory are also identified. An overview of some computational methods which make use of the method of mappings is also included. Numerical results for a specific example show that convergence (energy norm) of the sensitivity approximations can be influenced by the specific structure of the computational scheme. / Ph. D.